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Modeling and optimization of anaerobic digested sludge converting starch to hydrogen
1Department of Safety, Health, and Environmental Engineering, National Kaohsiung First University of Science and Technology, 1 University Road, Yanchau, Kaohsiung, Taiwan, Republic of China. lay@ccms.nkfu.edu.tw
Biotechnology and Bioengineering
|April 4, 2000
Summary
Optimizing anaerobic digestion, this study found that a pH of 5.2 and 17-hour hydraulic retention time (HRT) maximize hydrogen production from starch. Metabolite responses proved more indicative of efficient bioprocesses than direct hydrogen activity.
Area of Science:
- Biotechnology
- Biochemical Engineering
- Renewable Energy
Background:
- Anaerobic digestion is a key process for converting organic matter into valuable products.
- Optimizing conditions for hydrogen production from starch is crucial for sustainable bioenergy.
- Microbial consortia in anaerobic digested sludge can be harnessed for bioconversion.
Purpose of the Study:
- To model and optimize the conversion of starch into hydrogen using anaerobic digested sludge.
- To determine the optimal pH and hydraulic retention time (HRT) for maximum hydrogen yield.
- To investigate the role of metabolites in indicating bioprocess efficiency.
Main Methods:
- Central composite design methodology was employed to vary pH and HRT.
- Experimental runs were conducted in a chemostat reactor.
- Response-Surface Methodology was used for data analysis and optimization.
Main Results:
- Maximum hydrogen production rate of 1600 L/m(3)/d was achieved at pH 5.2 and HRT of 17 hours.
- Hydrogen yield reached 1.29 L H(2)/g starch-COD, with biogas containing approximately 60% hydrogen.
- No methanogenesis was observed under optimal conditions; metabolite responses were better indicators of efficiency.
Conclusions:
- Optimal operating conditions (pH 5.2, HRT 17 h) were identified for efficient anaerobic hydrogen production from starch.
- Clostridium sp. likely predominated in the microbial community responsible for hydrogen production.
- Response-Surface Methodology offers a valuable tool for optimizing and interpreting bioprocess operations.